Develop and automate dashboards, analyses, and reports to support business functions.
Collaborate with stakeholders in Operations and Sales to make data driven decisions.
Create pipelines and queries in the data warehouse. Maintain the integrity of the data as the "single source of truth".
Assess KPIs, perform root cause analyses, create recommendations for corrective action and work with business verticals to implement them. Be responsible for the accuracy of the calculations of these KPIs.
Identify opportunities for improving operational efficiency and sales growth.
Be the subject matter expert - the "go-to person" for all things data.
Data Analysts will discuss with Head of BI to assess if the project is viable. If Head of BI deems it is not viable, Data Analysts will go back to stakeholders and postpone / reject the project / give them other alternatives.
KPIs: Stakeholder peer review takes a big portion of it. Stakeholders will review: - Speed data and data accuracy.
Stakeholder satisfaction of whole experience with BI (e.g., whether Data Analysts pointed them to the right direction / gave suitable recommendations to help stakeholders make right decisions)"
Decision making: - For new situations (e.g., new data requirements that do not exist in current platforms), need to escalate to Head of BI to make the decision. For repeated situations (e.g., data already deemed to not exist / previous reports that were already done before), Data Analysts can make the decisions themselves”.
Job Requirements
Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics or any other relevant STEM degree.
Proficiency in SQL is required.
Proficiency with Excel / Google sheets are beneficial but not a mandatory requirement.
Experience with Python, R (or other tools for statistical analysis) and data visualization tools are beneficial but not a mandatory requirement.
Experience in analytics and process improvement-related initiatives are beneficial but not a mandatory requirement.
Naturally curious and have excellent analytical and problem-solving skills.
Strong communications skills.
Attention to detail.
Continuous improvement mind set.
Passion for data.
Able to work well both independently and collaboratively in a team environment.
